Applied Scientist applicants have rated the interview process at Amazon with 3.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 77% positive. To compare, the company-average is 73.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Applied Scientist roles take an average of 25 days to get hired, when considering 26 user submitted interviews for this role. To compare, the hiring process at Amazon overall takes an average of 17 days.
Common stages of the interview process at Amazon as a Applied Scientist according to 26 Glassdoor interviews include:
One on one interview: 27%
Skills test: 23%
Phone interview: 16%
Presentation: 9%
Background check: 7%
Group panel interview: 7%
IQ intelligence test: 5%
Personality test: 5%
Other: 2%
Here are the most commonly searched roles for interview reports -
9 hours of interviews was just way too much for me. It felt like a bad fit in the end and obviously they agreed. I found the interviews repetitive and stressful.
Interview questions [1]
Question 1
Tell me about a time you made a decision with no data.
Phone screen interview
Then onsite interviews: 5 interviews two on coding and three on science and a tech talk
You choose a topic for the presentation
The science interviews are: one on science depth, one on science breath and one on science applications
Interview questions [1]
Question 1
Question on optimizers; comparing gradient decent, adam optimizer etc
Applied for Amazon AGI. After first round, it will go into full round of multiple interviews. Lots of modern LLM training technic questions. There are still some behavioral questions, but less than general Amazon roles.
Interviewed with 1 phone screen, 1 coding, 2 ml design and 2 lp rounds. Most questions were non-leetcode questions more related to day to day ml implementations. The questions were very practical.